第四届机器学习、模式识别与智能系统国际会议(MLPRIS 2020) The 4th Int'l Conference on Machine Learning, Pattern Recognition and Intelligent Systems (MLPRIS 2020) 大会官网:https://www.confjuly.org/conference/MLPRIS2020/ 大会时间:2020年7月17-19日 大会地点:中国昆明 在线投稿:http://www.confjuly.org/RegistrationSubmission/default.aspx?ConferenceID=1241 邮箱投稿:intelconf@163.com 录用通知:论文投稿后1周左右 △. 会议简介 第四届机器学习、模式识别与智能系统国际会议(MLPRIS 2020)将于2020年7月17-19日在中国昆明举行。MLPRIS 2020议题涵盖先进的控制和检测技术,人工神经网络,音频/语音识别、音乐分析、多媒体系统,生物特征学、生物医学模式分析和信息系统,数据/Web挖掘和知识发现,人机交互等。本届大会将继续遵循学术性、国际性的原则,特邀国内外纳米医学相关领域内的学者专家前来参会,并做出精彩的报告。 △.文章出版 所有被会议录用的稿件将会发表在开源期刊,被知网学术、谷歌学术等收录。 △.投稿须知: 论文应具有学术或实用价值,未在国内外学术期刊或会议发表过。 论文排版格式以及投稿方式详见网站说明。 审稿流程:本次会议采用先投稿,先送专家评审的方式进行,审稿周期约1周。 △.参会方式(注:会议有Oral Presentation以及Poster环节) 1.全文参会:提交全文,申请参与10-15分钟的口头报告,3600元 2.摘要参会:提交摘要,申请参与10-15分钟的口头报告,2700元 3.听众参会:只参会听讲,不参与演讲及展示,2400元 △. 大会咨询 联系人:张老师 邮箱:intelconf@163.com QQ:1349406763 电话:132 6470 2250 微信:3025797047 △. 大会议题 Advanced Control and Detection Technology
Applications
Artificial Neural Networks
Audio/Speech Recognition, Music Analysis, Multimedia Systems
Biometrics, Biomedical Pattern Analysis and Information Systems
Classification and Clustering Techniques
Data/web Mining and Knowledge Discovery
Document Processing / Text and Graphics Recognition / Digital Libraries
Evolutionary Computation
Feature Selection / Dimensionality Reduction / Manifold Learning
Graph-based Techniques for Pattern Recognition
Human-computer Interaction
Intelligent and Fuzzy Control
Intelligent Computation Theory / Models and Algorithms for Intelligent Computation
Intelligent Computing / Soft Computing
Intelligent Robot Technology
Invariance in Pattern Recognition
Kernel Methods and Support Vector Machines
Knowledge Engineering, Cloud Computation, Intelligent Decision and Advanced Management
Natural Language Analysis / Information Retrieval
Pattern Recognition Algorithms/Systems
Raw Data Representation
Shape and Texture Analysis
Signal Analysis / Image Coding and Processing
Special Hardware Architectures and Software Packages / Embedded Systems
Statistical Machine Learning
Statistical Pattern Recognition
Structural and Syntactic Pattern Recognition
Web Intelligence and Technology
Other Related Topics
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